Frontiers in Genetics (Nov 2022)

Insights on variant analysis in silico tools for pathogenicity prediction

  • Felipe Antonio de Oliveira Garcia,
  • Edilene Santos de Andrade,
  • Edenir Inez Palmero,
  • Edenir Inez Palmero

DOI
https://doi.org/10.3389/fgene.2022.1010327
Journal volume & issue
Vol. 13

Abstract

Read online

Molecular biology is currently a fast-advancing science. Sequencing techniques are getting cheaper, but the interpretation of genetic variants requires expertise and computational power, therefore is still a challenge. Next-generation sequencing releases thousands of variants and to classify them, researchers propose protocols with several parameters. Here we present a review of several in silico pathogenicity prediction tools involved in the variant prioritization/classification process used by some international protocols for variant analysis and studies evaluating their efficiency.

Keywords